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Kniha Generative Diffusion Models for Financial Engineering Vincent Bisette

Generative Diffusion Models for Financial Engineering

Synthetic Data Generation, Tail Risk Management, and Stress Testing with Python

Autor: Vincent Bisette, Alice Schwartz
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Independently published
Dostupnosť: Očakávané naskladnenie
Naskladnenie 09. 06. 2026
38.87 €
Reactive PublishingDiscover how generative diffusion models are transforming financial engineering....

Informácie o knihe

Autor
Vincent Bisette, Alice Schwartz
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2026
Stránok
546
EAN
9798180078780
Enbook ID
52815564
Vydavateľ
Independently published
Hmotnosť
653
Rozmery
152 x 229 x 34

Kompletný popis

Reactive Publishing

Discover how generative diffusion models are transforming financial engineering. This technical guide explores the application of advanced diffusion-based techniques to create high-quality synthetic financial scenarios, strengthen tail-risk analysis, and improve stress testing and backtesting workflows.

Written for quantitative analysts, risk managers, and Python practitioners, the book provides practical implementations for generating realistic synthetic data that captures complex market dynamics, volatility clustering, and extreme events. Learn to build more robust models that better withstand market shocks and enhance decision-making under uncertainty.

Clear explanations, code examples, and real-world considerations make this a valuable resource for professionals applying cutting-edge generative AI methods to quantitative finance challenges.